Vehicle detection and type recognition based on static images is highly practical and directly
applicable for various operations in a traffic surveillance system. This paper will introduce …

The integral image, an intermediate image representation, has found extensive use in multi-
scale local feature detection algorithms, such as Speeded-Up Robust Features (SURF) …

GPUs lack fundamental support for data-dependent parallelism and synchronization. While
CUDA Dynamic Parallelism signals progress in this direction, many limitations and …

Modern GPUs have evolved into fully programmable parallel stream multiprocessors. Due to
the nature of the graphic workloads, computer vision algorithms are in good position to …

In the last few years a myriad of computer graphic applications have been developed using
standard programming techniques, which are mainly based on multicore general-purpose …

Face detection is a prominent research domain in the field of digital image processing. Out
of various algorithms developed so far, Viola–Jones face detection has been highly …

The current trend for intensive computational architectures is to adopt massive parallelism,
with several concurrent tasks performed simultaneously, as done for example in GPUs. This …

Face Recognition plays a very important role in numerous occasions based on visual
security in recent days. The current methods of face recognition are to extract the different …

Multicore platforms are characterized by increasing variability and aging effects that imply
heterogeneity in core performance, energy consumption, and reliability. In particular, wear …

While kd trees are known to be effective for spatial indexing of sparse 3-d volume data, full
reconstruction, eg due to changes to the alpha transfer function during rendering, is usually …